Colleges and universities are embracing analytics and using data, technology, and specialized knowledge to answer questions, reveal institutional needs, navigate challenges, predict outcomes, and improve financial performance. NACUBO's Integrating Analytics Forum provides content to help business officers tackle their data and integrate the use of analytics to inform decisions that meet institutional goals.
The 2021 Integrating Analytics Forum will be hosted online and address topics such as COVID-19, program margins, activity-based costing, data governance, student success, tools and technology, creating a data-informed culture, data visualization, resource allocation, financial aid decisions, and more. Case studies and campus expert panels provide institutional relevance.
No prerequisites and/or advance preparation required.
Shiva Jaganathan, , The University of Texas at Austin
Gina Johnson, , National Center for Higher Education Management Systems
Bradley Kendrex, , Chandler-Gilbert Community College
Paul Leef, ,
Keith McIntosh, , University of Richmond
Ignacio Molina, , University of Northern Iowa
Douglas Nutter, , HelioCampus
Phillip Paulick, , University of Virginia
Marcus Richardson, assistant treasurer, CUNY Brooklyn College
Alexandria Roe, , University of Wisconsin System Administration
Jessica Shedd, , Tulane University
Estimated 6 CPE Credits
NACUBO is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website www.nasbaregistry.org.
Join us for an adventure! Most in higher education already know the value data-informed decision-making has for their institutions and their students. But how do you know if you’re leveraging data to its fullest potential? Are there skills you can be building (or helping your colleagues build) to improve the use of data to support decisions? In this session, we’ll go on an analytics adventure to learn how to build data knowledge, develop sophisticated questions, and act on results of analyses.
Session Duration: 75 minutes; 11:00am - 12:15pm ET
Demo Session: truEd
Session Duration: 30 minutes; 12:30 - 1:00pm ET
Activity-Based Costing in Higher Education: Processes, Challenges, and Outcomes
As colleges and universities are called on to do more with less, simply cutting budgets is not an ideal solution. We provide an overview of demographic and fiscal challenges and discuss the urgent need to understand the inputs (revenue) and outputs (expenses) in activity‐based costing models. We present a basic data model and discuss critical assumptions involved in its development—which leads to an understanding of common challenges in model development as well as ways to overcome them. We also present a set of interactive dashboards that allow users to investigate academic efficiency from multiple perspectives, meeting multiple stakeholders’ needs.
Beginning an analytics initiative can be intimidating. In fact, in a survey of chief business officers, the majority indicated that either the cost of investing in either the technology or staff necessary was a barrier to using analytics at their institutions. How do you build engagement and establish the value of analytics when it is unlikely the institution will suddenly have more resources to invest in building a data-informed culture? In this panel discussion, you’ll hear some of the creative solutions other institutions have employed to build analytics capacity with limited resources.
Session Duration: 60 minutes; 1:15 - 2:15pm ET
Session Duration: 30 minutes; 2:30 - 3:00pm ET
Back to Basics: The Lifecycle of a Dashboard Project
Are you tasked with dashboard development at your institution? Is your institution just beginning their analytics journey? Are you interested in discussing best practices and tips? In this interactive session, we will provide foundational training on the lifecycle of the development of a dashboard—from the spark of an idea/request, to a production-ready dashboard, and to continued maintenance. Participants will discuss best practices and techniques related to user-centered design, project management, and stakeholder engagement. This session will also provide an overview of the data acquisition process and validation and analysis methodologies.
Bird Guess will discuss how colleges and universities can achieve diversity, equity, and inclusion goals when leaders, including business officers, focus on institutional policies, practices, processes, and behaviors. Guess, a renowned management consultant, is an expert in conducting Racial Equity audit assessments, advising executives on diversity and inclusion strategies, designing and delivering Racial Equity training curriculum, integrating equity into organizational policies and practices, and ultimately making Racial Equity standard operating procedure.
Session Duration: 60 minutes; 11:00am - 12:00pm ET
In NACUBO’s Study of Analytics, half of chief business officers cited mistrust or misunderstanding about how data would be generated and used as a barrier to the use of analytics at their institutions. How can leaders alleviate mistrust and misunderstanding and build a culture that values data-informed decision-making? In this session, you’ll hear how leaders at one institution involved academic units in the development of a rubric to align data use with the institution’s strategic goals. The session will address building buy-in, metric selection, and data gathering.
Space is one of a college or university’s most valuable assets, and it should be deployed in support of strategic institutional goals. However, many institutions face barriers to space management and even struggle having meaningful conversations about optimizing the use of these critical resources. This session will present (1) ways to leverage existing data, including a discussion of best practices for developing and using metrics to monitor efficiency or justify new initiatives and (2) how to present visualizations and insights that promote understanding and meaningful dialogue for stakeholders. Panel members from various institutions will discuss their experiences and lessons learned.
Colleges and universities have abundant amounts of one particular resource: data. However, concerns about data quality, challenges integrating data from disparate sources, and the frustration of waiting for data warehouse projects to be complete seem to impede progress toward building a data-informed culture. In this session, you’ll learn how one institution was able to not let the perfect be the enemy of the good. They’ll share how they were able to leverage the data they had to support critical decisions about instruction delivery modes; diversity, equity, and inclusion goals; and faculty productivity.